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Official Implementation of "Align-Then-stEer: Adapting the Vision-Language Action Models through Unified Latent Guidance".
一个通用的命令行脚本管理工具,包括参数管理、shell脚本解析、通用脚本执行和日志记录;欢迎试用和反馈问题...
An elegant PyTorch deep reinforcement learning library.
Save arXiv papers to Notion with a single click
Site to redirect Authentication URLs from Notion's API
Project for the paper entitled `Instruction Tuning for Large Language Models: A Survey`
Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.
A framework for few-shot evaluation of language models.
Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"
Llama中文社区,实时汇总最新Llama学习资料,构建最好的中文Llama大模型开源生态,完全开源可商用
Data-Copilot: Bridging Billions of Data and Humans with Autonomous Workflow
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
A collection of resources and papers on Diffusion Models
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
ORB-SLAM2 源码注释, 基于泡泡机器人的注释版本
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
AlexeyAB / darknet
Forked from pjreddie/darknetYOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
High Performance Chinese License Plate Recognition Framework.
Python tools for 3D face: 3DMM, Mesh processing(transform, camera, light, render), 3D face representations.
A Robust and Versatile Monocular Visual-Inertial State Estimator
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Perception toolkit for sim2real training and validation in Unity
SynthDet - An end-to-end object detection pipeline using synthetic data
[CVPR2021, PAMI2023] End-to-End Object Detection with Learnable Proposal
目前测试语义分割模型在kaggle无人机数据集上的效果,仅用于小组内学习与讨论。